{"schemaVersion":"jobsearcher.job.v1","id":"d64a135a18d105168b4e08c3","url":"https://jobsearcher.com/jobs/d64a135a18d105168b4e08c3","canonicalUrl":"https://jobsearcher.com/jobs/d64a135a18d105168b4e08c3","title":"Quality Manager, Failure Analysis Electrical Engineer","description":"OverviewIn this role you will lead failure analysis on hyperscale AI computing platforms, driving root-cause investigations and corrective actions to enhance reliability. You will collaborate with design, manufacturing, and reliability teams to tackle system- and hardware-level issues across GPUs, CPUs, ASICs, and memory. The position focuses on diagnosing failures from system to component levels and shaping robust reliability validation plans. You will contribute to shaping next-generation AI infrastructure and ensure customer satisfaction through continuous improvement.Compensation / Benefitsmedical, dental, and vision plansLife InsuranceDisability (short-term and long-term)Matching 401(k) ContributionsVacation and Paid Sick TimeTuition ReimbursementResponsibilitiesLead failure analysis investigations on hyperscale AI systems (servers, clusters, ASIC platforms, networks, storage, power delivery)Diagnose failures from system level down to PCB, component, package, and silicon die levelsPerform root cause analysis for system boot, thermal, memory, PCIe, power integrity, signal integrity, and AI accelerator failuresInterpret schematics, board layouts, stack-ups, docs, simulations, and test data to identify failure modesConduct advanced electrical failure analysis (short/open circuits, power rail, leakage, SI/PI, ESD/EOS)Apply physical failure analysis methods (cross-sectioning, dye/ pry, decapsulation, SEM, solder joint and package integrity)Investigate semiconductor-related failures in GPUs/CPUs/ASICs/FPGAs/HBM and high-speed SerDesDevelop and execute reliability validation plans (thermal cycling, HALT/HASS, burn-in, environmental testing, vibration, shock, accelerated life)Collaborate with design, manufacturing, supplier quality, reliability teams, and customers to resolve reliability issuesLead technical reviews and communicate findings and corrective actions to stakeholdersDrive continuous improvement for product quality, reliability, and customer satisfactionKey requirementsBachelor's degree in Electrical Engineering, Electronics Engineering, Reliability Engineering or related field; Master's preferredMinimum 5 years of hands-on reliability/electronics experience3+ years of managerial experienceExperience with hyperscale computing systems, AI server platforms, GPU-based systems, ASIC-based products, or data center infrastructureStrong knowledge of high-speed digital electronics, SI/PI, PCB technologies and manufacturing, semiconductor packaging and failure mechanisms, thermal managementStrong communication and collaborationProblem-solving and analytical thinkingCross-functional teamworkElectrical failure analysisSystem, PCB, and silicon-level diagnosticsSI/PI analysis and testing","company":"Flextronics","rawCompany":"flextronics","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-26T13:17:24.644Z","occupations":[{"code":"11-3051.01","title":"Quality Control Systems Managers","slug":"quality-control-systems-managers"},{"code":"17-2071.00","title":"Electrical Engineers","slug":"electrical-engineers"},{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"334419","title":"Other Electronic Component Manufacturing","slug":"other-electronic-component-manufacturing"},{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Quality Manager, Failure Analysis Electrical Engineer","description":"OverviewIn this role you will lead failure analysis on hyperscale AI computing platforms, driving root-cause investigations and corrective actions to enhance reliability. You will collaborate with design, manufacturing, and reliability teams to tackle system- and hardware-level issues across GPUs, CPUs, ASICs, and memory. The position focuses on diagnosing failures from system to component levels and shaping robust reliability validation plans. You will contribute to shaping next-generation AI infrastructure and ensure customer satisfaction through continuous improvement.Compensation / Benefitsmedical, dental, and vision plansLife InsuranceDisability (short-term and long-term)Matching 401(k) ContributionsVacation and Paid Sick TimeTuition ReimbursementResponsibilitiesLead failure analysis investigations on hyperscale AI systems (servers, clusters, ASIC platforms, networks, storage, power delivery)Diagnose failures from system level down to PCB, component, package, and silicon die levelsPerform root cause analysis for system boot, thermal, memory, PCIe, power integrity, signal integrity, and AI accelerator failuresInterpret schematics, board layouts, stack-ups, docs, simulations, and test data to identify failure modesConduct advanced electrical failure analysis (short/open circuits, power rail, leakage, SI/PI, ESD/EOS)Apply physical failure analysis methods (cross-sectioning, dye/ pry, decapsulation, SEM, solder joint and package integrity)Investigate semiconductor-related failures in GPUs/CPUs/ASICs/FPGAs/HBM and high-speed SerDesDevelop and execute reliability validation plans (thermal cycling, HALT/HASS, burn-in, environmental testing, vibration, shock, accelerated life)Collaborate with design, manufacturing, supplier quality, reliability teams, and customers to resolve reliability issuesLead technical reviews and communicate findings and corrective actions to stakeholdersDrive continuous improvement for product quality, reliability, and customer satisfactionKey requirementsBachelor's degree in Electrical Engineering, Electronics Engineering, Reliability Engineering or related field; Master's preferredMinimum 5 years of hands-on reliability/electronics experience3+ years of managerial experienceExperience with hyperscale computing systems, AI server platforms, GPU-based systems, ASIC-based products, or data center infrastructureStrong knowledge of high-speed digital electronics, SI/PI, PCB technologies and manufacturing, semiconductor packaging and failure mechanisms, thermal managementStrong communication and collaborationProblem-solving and analytical thinkingCross-functional teamworkElectrical failure analysisSystem, PCB, and silicon-level diagnosticsSI/PI analysis and testing","datePosted":"2026-10-26T13:17:24.644Z","dateModified":"2026-10-26T13:17:24.644Z","hiringOrganization":{"@type":"Organization","name":"Flextronics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d64a135a18d105168b4e08c3"},"url":"https://jobsearcher.com/jobs/d64a135a18d105168b4e08c3"}}